Triple

T9792746
Position Surface form Disambiguated ID Type / Status
Subject Sergio Ramírez E237642 entity
Predicate notableWork P4 FINISHED
Object Sara
"Sara" is a novel by Nicaraguan writer and former vice president Sergio Ramírez, known for its literary exploration of Central American life and identity.
 E820897 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sara | Statement: [Sergio Ramírez, notableWork, Sara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sara
Context triple: [Sergio Ramírez, notableWork, Sara]
  • A. Sara
    Sara is a language spoken in parts of Central Africa, particularly in Chad.
  • B. Sara
    "Sara" is a popular rock song by the American band Starship, known for its emotive lyrics and 1980s power-ballad style.
  • C. Sara
    Sara is a feminine given name of Hebrew origin meaning "princess," historically borne by notable figures including Sara Ann Delano Roosevelt, the mother of U.S. President Franklin D. Roosevelt.
  • D. Sara
    Sara was the internal codename used by Apple for its Apple III personal computer during development.
  • E. Samantha
    Samantha is a central character in the psychological thriller film "Enter Nowhere," where she becomes trapped in a mysterious cabin in the woods alongside two strangers as they unravel a time-bending mystery.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sara
Triple: [Sergio Ramírez, notableWork, Sara]
Generated description
"Sara" is a novel by Nicaraguan writer and former vice president Sergio Ramírez, known for its literary exploration of Central American life and identity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sara
Target entity description: "Sara" is a novel by Nicaraguan writer and former vice president Sergio Ramírez, known for its literary exploration of Central American life and identity.
  • A. Sara
    Sara is a feminine given name of Hebrew origin meaning "princess," historically borne by notable figures including Sara Ann Delano Roosevelt, the mother of U.S. President Franklin D. Roosevelt.
  • B. Sara
    Sara is a language spoken in parts of Central Africa, particularly in Chad.
  • C. Sara
    Sara was the internal codename used by Apple for its Apple III personal computer during development.
  • D. Sara
    "Sara" is a popular rock song by the American band Starship, known for its emotive lyrics and 1980s power-ballad style.
  • E. Samantha
    Samantha is an AI character, likely designed as a virtual persona with human-like conversational abilities and personality traits.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda346945481908c2698a79c578ef5 completed April 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c4368da88190a70e93ec4d6bef93 completed April 5, 2026, 2:08 a.m.
NEDg Description generation batch_69d1c4a087208190b81ae9d40de08ab9 completed April 5, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_69d1c4fe71308190ac08e30c98611ed6 completed April 5, 2026, 2:12 a.m.
Created at: March 30, 2026, 8:28 p.m.